most citedRobust adaptive MPC using control contraction metrics

61 citations

10 papers

math.OC2023★ 24 cited

Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers

Xavier Guidetti, Efe C. Balta, Yannick Nagel +3

When manufacturing parts using material extrusion additive manufacturing and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on t…

eess.SY2022★ 2 cited

Subtransmission Grid Control via Online Feedback Optimization

Lukas Ortmann, Jean Maeght, Patrick Panciatici +2

The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Op…

eess.SY2022★ 1 cited

Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control

Sophie Hall, Lukas Ortmann, Miguel Picallo +1

Medical drug infusion problems pose a combination of challenges such as nonlinearities from physiological models, model uncertainty due to inter- and intra-patient variability, as…

eess.SY2022★ 28 cited

Nonlinear Stability of Complex Droop Control in Converter-Based Power Systems

Xiuqiang He, Verena Häberle, Irina Subotić +1

In this letter, we study the nonlinear stability problem of converter-based power systems, where the converter dynamics are governed by a complex droop control. This complex droop…

eess.SY2022★ 41 cited

On Power Control of Grid-Forming Converters: Modeling, Controllability, and Full-State Feedback Design

Meng Chen, Dao Zhou, Ali Tayyebi +3

The popular single-input single-output control structures and classic design methods (e.g., root locus analysis) for the power control of grid-forming converters have limitations i…

math.OC2022

First-order Conditions for Optimization in the Wasserstein Space

Nicolas Lanzetti, Saverio Bolognani, Florian Dörfler

We study first-order optimality conditions for constrained optimization in the Wasserstein space, whereby one seeks to minimize a real-valued function over the space of probability…